Software Engineer Remote Intern Jobs in Myrtle Point, OR

As the Lead Salesforce Software Engineer, you will be responsible for designing, building, and maintaining scalable, secure, and reliable solutions for field operations. Provides technical leadership to a team of developers on the creation, delivery, and integration of complex software solutions that meet business requirements.

Only U.S. citizens or Permanent Residents/Green Card holders will be considered for this position. 

Salesforce Field Service (FSL/SFS) and SFS Mobile App Development experience is highly preferred. 

• Lead the design, configuration, development, testing, deployment, and ongoing support of Salesforce Field Service and the SFS Mobile App for field technician and dispatcher workflows.
• Own end-to-end technical solution design for complex field service capabilities, including Work Orders, Service Appointments, Service Resources, Service Territories, Work Types, Scheduling Policies, Dispatcher Console, Field Service Mobile, and offline/mobile-first experiences.
• Develop scalable, secure, and maintainable Salesforce solutions using Apex, Lightning Web Components, Flows, Platform Events, Custom Metadata, SOQL, and Visualforce where needed.
• Integrate Salesforce Field Service with enterprise platforms and legacy field operations systems using REST/SOAP APIs, MuleSoft, middleware, event-driven architecture, and data synchronization patterns.
• Design and optimize scheduling, routing, appointment booking, capacity, technician skill matching, dispatch gating, and real-time technician notification capabilities to improve field productivity and customer experience.
• Partner with Product, Operations, Dispatch, Field Operations, Architecture, Security, and Engineering teams to translate business outcomes, KPIs, and user stories into durable technical designs and delivery plans.
• Provide technical leadership within Agile teams by guiding solution design, breaking down complex work, reviewing code, mentoring engineers, establishing engineering standards, and ensuring production readiness.
• Lead design and implementation of AI-enabled field service capabilities, including work order summaries, technician recommendations, knowledge retrieval, anomaly detection, predictive insights, and intelligent automation.
• Evaluate and implement Salesforce Agentforce use cases for field technician assistance, guided troubleshooting, knowledge-grounded answers, job preparation, next-best-action workflows, and back-office automation.
• Apply responsible AI practices, including grounding strategy, prompt design, guardrails, auditability, privacy, security, access control, and alignment with Lumen AI governance processes.
• Build observability, exception handling, automated testing, CI/CD deployment pipelines, and operational dashboards to improve quality, reliability, supportability, and incident response.
• Provide production support, root-cause analysis, defect resolution, and continuous improvement for Salesforce Field Service desktop and mobile capabilities.
• Create and maintain technical documentation, design artifacts, release notes, support runbooks, user enablement materials, and knowledge transfer content.
• Communicate clearly with technical and non-technical stakeholders, presenting design decisions, tradeoffs, risks, dependencies, and delivery progress in an executive-ready manner.

Required Qualifications: 

• 8+ years of professional software engineering experience, including hands-on design, development, testing, deployment, and support of enterprise applications.
• 5+ years of Salesforce development experience with strong hands-on expertise in Service Cloud and Salesforce Field Service.
• 2+ years of Salesforce Field Service and Field Service Mobile App development experience, including technician-facing mobile workflows and offline/mobile-first design considerations.
• Strong experience configuring and extending Salesforce Field Service capabilities such as Work Orders, Service Appointments, Service Resources, Service Territories, Work Types, Skills, Scheduling Policies, Dispatcher Console, Field Service Mobile, and job status lifecycle workflows.
• Advanced Salesforce development skills in Apex, Lightning Web Components, SOQL, Flows, Platform Events, Custom Metadata, triggers, controllers, and integration patterns.
• Experience designing and implementing scalable integrations using REST/SOAP APIs, middleware, MuleSoft or equivalent integration platforms, event-driven architecture, and secure data exchange patterns.
• Hands-on experience with CI/CD, automated deployments, source control, code review practices, unit testing, release management, and environment management for Salesforce delivery.
• Experience building distributed, integration-heavy, and data-centric applications with strong attention to performance, scalability, security, maintainability, and Salesforce platform limits.
• Working knowledge of monitoring and observability tools such as AppDynamics, BigPanda, Splunk, or equivalent platforms.
• Experience with AI-enabled development or delivery practices, including use of AI-assisted engineering tools to improve delivery speed, quality, testing, documentation, or automation.